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1. Modulation of neural oscillations in escitalopram treatment: a Canadian biomarker integration network in depression study

Author

Schwartzmann, Benjamin, Chatterjee, Raaj, Vaghei, Yasaman, Quilty, Lena C., Allen, Timothy A., Arnott, Stephen R., Atluri, Sravya, Blier, Pierre, Dhami, Prabhjot, Foster, Jane A., Frey, Benicio N., Kloiber, Stefan, Lam, Raymond W., Milev, Roumen, Müller, Daniel J., Soares, Claudio N., Stengel, Chloe, Parikh, Sagar V., Turecki, Gustavo, Uher, Rudolf, Rotzinger, Susan, Kennedy, Sidney H., and Farzan, Faranak

Published
2024
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2. Endocannabinoid concentrations in major depression: effects of childhood maltreatment and relation to hippocampal volume

Author

Mazurka, Raegan, Harkness, Kate L., Hassel, Stefanie, Stensson, Niclas, Nogovitsyn, Nikita, Poppenk, Jordan, Foster, Jane A., Squires, Scott D., Rowe, Jessie, Milev, Roumen V., Wynne-Edwards, Katherine E., Turecki, Gustavo, Strother, Stephen C., Arnott, Stephen R., Lam, Raymond W., Rotzinger, Susan, Kennedy, Sidney H., Frey, Benicio N., and Mayo, Leah M.

Published
2024
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3. Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo

Author

Fu, Cynthia H. Y., Antoniades, Mathilde, Erus, Guray, Garcia, Jose A., Fan, Yong, Arnone, Danilo, Arnott, Stephen R., Chen, Taolin, Choi, Ki Sueng, Fatt, Cherise Chin, Frey, Benicio N., Frokjaer, Vibe G., Ganz, Melanie, Godlewska, Beata R., Hassel, Stefanie, Ho, Keith, McIntosh, Andrew M., Qin, Kun, Rotzinger, Susan, Sacchet, Matthew D., Savitz, Jonathan, Shou, Haochang, Singh, Ashish, Stolicyn, Aleks, Strigo, Irina, Strother, Stephen C., Tosun, Duygu, Victor, Teresa A., Wei, Dongtao, Wise, Toby, Zahn, Roland, Anderson, Ian M., Craighead, W. Edward, Deakin, J. F. William, Dunlop, Boadie W., Elliott, Rebecca, Gong, Qiyong, Gotlib, Ian H., Harmer, Catherine J., Kennedy, Sidney H., Knudsen, Gitte M., Mayberg, Helen S., Paulus, Martin P., Qiu, Jiang, Trivedi, Madhukar H., Whalley, Heather C., Yan, Chao-Gan, Young, Allan H., and Davatzikos, Christos

Published
2024
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4. Publisher Correction: Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo

Author

Fu, Cynthia H. Y., Antoniades, Mathilde, Erus, Guray, Garcia, Jose A., Fan, Yong, Arnone, Danilo, Arnott, Stephen R., Chen, Taolin, Choi, Ki Sueng, Fatt, Cherise Chin, Frey, Benicio N., Frokjaer, Vibe G., Ganz, Melanie, Godlewska, Beata R., Hassel, Stefanie, Ho, Keith, McIntosh, Andrew M., Qin, Kun, Rotzinger, Susan, Sacchet, Matthew D., Savitz, Jonathan, Shou, Haochang, Singh, Ashish, Stolicyn, Aleks, Strigo, Irina, Strother, Stephen C., Tosun, Duygu, Victor, Teresa A., Wei, Dongtao, Wise, Toby, Zahn, Roland, Anderson, Ian M., Craighead, W. Edward, Deakin, J. F. William, Dunlop, Boadie W., Elliott, Rebecca, Gong, Qiyong, Gotlib, Ian H., Harmer, Catherine J., Kennedy, Sidney H., Knudsen, Gitte M., Mayberg, Helen S., Paulus, Martin P., Qiu, Jiang, Trivedi, Madhukar H., Whalley, Heather C., Yan, Chao-Gan, Young, Allan H., and Davatzikos, Christos

Published
2024
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5. AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale

Author

Fu, Cynthia HY, Erus, Guray, Fan, Yong, Antoniades, Mathilde, Arnone, Danilo, Arnott, Stephen R, Chen, Taolin, Choi, Ki Sueng, Fatt, Cherise Chin, Frey, Benicio N, Frokjaer, Vibe G, Ganz, Melanie, Garcia, Jose, Godlewska, Beata R, Hassel, Stefanie, Ho, Keith, McIntosh, Andrew M, Qin, Kun, Rotzinger, Susan, Sacchet, Matthew D, Savitz, Jonathan, Shou, Haochang, Singh, Ashish, Stolicyn, Aleks, Strigo, Irina, Strother, Stephen C, Tosun, Duygu, Victor, Teresa A, Wei, Dongtao, Wise, Toby, Woodham, Rachel D, Zahn, Roland, Anderson, Ian M, Deakin, JF William, Dunlop, Boadie W, Elliott, Rebecca, Gong, Qiyong, Gotlib, Ian H, Harmer, Catherine J, Kennedy, Sidney H, Knudsen, Gitte M, Mayberg, Helen S, Paulus, Martin P, Qiu, Jiang, Trivedi, Madhukar H, Whalley, Heather C, Yan, Chao-Gan, Young, Allan H, and Davatzikos, Christos

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Biomedical Imaging, Neurosciences, Brain Disorders, Clinical Research, Depression, Bioengineering, Serious Mental Illness, Major Depressive Disorder, Mental Health, 4.1 Discovery and preclinical testing of markers and technologies, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Neurological, Mental health, Humans, Depressive Disorder, Major, Prospective Studies, Reproducibility of Results, Brain, Neuroimaging, Magnetic Resonance Imaging, Artificial Intelligence, Classification, Biomarkers, Deep learning, Harmonization, Predictors, MRI, Public Health and Health Services, Psychiatry, Clinical sciences, Epidemiology, Clinical and health psychology
Abstract

BackgroundEfforts to develop neuroimaging-based biomarkers in major depressive disorder (MDD), at the individual level, have been limited to date. As diagnostic criteria are currently symptom-based, MDD is conceptualized as a disorder rather than a disease with a known etiology; further, neural measures are often confounded by medication status and heterogeneous symptom states.MethodsWe describe a consortium to quantify neuroanatomical and neurofunctional heterogeneity via the dimensions of novel multivariate coordinate system (COORDINATE-MDD). Utilizing imaging harmonization and machine learning methods in a large cohort of medication-free, deeply phenotyped MDD participants, patterns of brain alteration are defined in replicable and neurobiologically-based dimensions and offer the potential to predict treatment response at the individual level. International datasets are being shared from multi-ethnic community populations, first episode and recurrent MDD, which are medication-free, in a current depressive episode with prospective longitudinal treatment outcomes and in remission. Neuroimaging data consist of de-identified, individual, structural MRI and resting-state functional MRI with additional positron emission tomography (PET) data at specific sites. State-of-the-art analytic methods include automated image processing for extraction of anatomical and functional imaging variables, statistical harmonization of imaging variables to account for site and scanner variations, and semi-supervised machine learning methods that identify dominant patterns associated with MDD from neural structure and function in healthy participants.ResultsWe are applying an iterative process by defining the neural dimensions that characterise deeply phenotyped samples and then testing the dimensions in novel samples to assess specificity and reliability. Crucially, we aim to use machine learning methods to identify novel predictors of treatment response based on prospective longitudinal treatment outcome data, and we can externally validate the dimensions in fully independent sites.ConclusionWe describe the consortium, imaging protocols and analytics using preliminary results. Our findings thus far demonstrate how datasets across many sites can be harmonized and constructively pooled to enable execution of this large-scale project.

Published
2023

6. Depression-Anxiety Coupling Strength as a predictor of relapse in major depressive disorder: A CAN-BIND wellness monitoring study report

Author

Nunes, Abraham, Pavlova, Barbara, Cunningham, Jasmyn E.A., Nuñez, John-Jose, Quilty, Lena C., Foster, Jane A., Harkness, Kate L., Ho, Keith, Lam, Raymond W., Li, Qingqin S., Milev, Roumen, Rotzinger, Susan, Soares, Claudio N., Taylor, Valerie H., Turecki, Gustavo, Kennedy, Sidney H., Frey, Benicio N., Rudzicz, Frank, and Uher, Rudolf

Published
2024
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7. Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder

Author

Adamson, Chris, Adler, Sophie, Alexander-Bloch, Aaron F., Anagnostou, Evdokia, Anderson, Kevin M., Areces-Gonzalez, Ariosky, Astle, Duncan E., Auyeung, Bonnie, Ayub, Muhammad, Bae, Jong Bin, Ball, Gareth, Baron-Cohen, Simon, Beare, Richard, Bedford, Saashi A., Benegal, Vivek, Bethlehem, Richard A.I., Beyer, Frauke, Blangero, John, Cábez, Manuel Blesa, Boardman, James P., Borzage, Matthew, Bosch-Bayard, Jorge F., Bourke, Niall, Bullmore, Edward T., Calhoun, Vince D., Chakravarty, Mallar M., Chen, Christina, Chertavian, Casey, Chetelat, Gaël, Chong, Yap S., Corvin, Aiden, Costantino, Manuela, Courchesne, Eric, Crivello, Fabrice, Cropley, Vanessa L., Crosbie, Jennifer, Crossley, Nicolas, Delarue, Marion, Delorme, Richard, Desrivieres, Sylvane, Devenyi, Gabriel, Di Biase, Maria A., Dolan, Ray, Donald, Kirsten A., Donohoe, Gary, Dorfschmidt, Lena, Dunlop, Katharine, Edwards, Anthony D., Elison, Jed T., Ellis, Cameron T., Elman, Jeremy A., Eyler, Lisa, Fair, Damien A., Fletcher, Paul C., Fonagy, Peter, Franz, Carol E., Galan-Garcia, Lidice, Gholipour, Ali, Giedd, Jay, Gilmore, John H., Glahn, David C., Goodyer, Ian M., Grant, P.E., Groenewold, Nynke A., Gudapati, Shreya, Gunning, Faith M., Gur, Raquel E., Gur, Ruben C., Hammill, Christopher F., Hansson, Oskar, Hedden, Trey, Heinz, Andreas, Henson, Richard N., Heuer, Katja, Hoare, Jacqueline, Holla, Bharath, Holmes, Avram J., Huang, Hao, Ipser, Jonathan, Jack, Clifford R., Jr., Jackowski, Andrea P., Jia, Tianye, Jones, David T., Jones, Peter B., Kahn, Rene S., Karlsson, Hasse, Karlsson, Linnea, Kawashima, Ryuta, Kelley, Elizabeth A., Kern, Silke, Kim, Ki-Woong, Kitzbichler, Manfred G., Kremen, William S., Lalonde, François, Landeau, Brigitte, Lerch, Jason, Lewis, John D., Li, Jiao, Liao, Wei, Liston, Conor, Lombardo, Michael V., Lv, Jinglei, Mallard, Travis T., Marcelis, Machteld, Mathias, Samuel R., Mazoyer, Bernard, McGuire, Philip, Meaney, Michael J., Mechelli, Andrea, Misic, Bratislav, Morgan, Sarah E., Mothersill, David, Ortinau, Cynthia, Ossenkoppele, Rik, Ouyang, Minhui, Palaniyappan, Lena, Paly, Leo, Pan, Pedro M., Pantelis, Christos, Park, Min Tae M., Paus, Tomas, Pausova, Zdenka, Paz-Linares, Deirel, Binette, Alexa Pichet, Pierce, Karen, Qian, Xing, Qiu, Anqi, Raznahan, Armin, Rittman, Timothy, Rodrigue, Amanda, Rollins, Caitlin K., Romero-Garcia, Rafael, Ronan, Lisa, Rosenberg, Monica D., Rowitch, David H., Salum, Giovanni A., Satterthwaite, Theodore D., Schaare, H. Lina, Schabdach, Jenna, Schachar, Russell J., Schöll, Michael, Schultz, Aaron P., Seidlitz, Jakob, Sharp, David, Shinohara, Russell T., Skoog, Ingmar, Smyser, Christopher D., Sperling, Reisa A., Stein, Dan J., Stolicyn, Aleks, Suckling, John, Sullivan, Gemma, Thyreau, Benjamin, Toro, Roberto, Traut, Nicolas, Tsvetanov, Kamen A., Turk-Browne, Nicholas B., Tuulari, Jetro J., Tzourio, Christophe, Vachon-Presseau, Étienne, Valdes-Sosa, Mitchell J., Valdes-Sosa, Pedro A., Valk, Sofie L., van Amelsvoort, Therese, Vandekar, Simon N., Vasung, Lana, Vértes, Petra E., Victoria, Lindsay W., Villeneuve, Sylvia, Villringer, Arno, Vogel, Jacob W., Wagstyl, Konrad, Wang, Yin-Shan S., Warfield, Simon K., Warrier, Varun, Westman, Eric, Westwater, Margaret L., Whalley, Heather C., White, Simon R., Witte, A. Veronica, Yang, Ning, Yeo, B.T. Thomas, Yun, Hyuk Jin, Zalesky, Andrew, Zar, Heather J., Zettergren, Anna, Zhou, Juan H., Ziauddeen, Hisham, Zimmerman, Dabriel, Zugman, Andre, Zuo, Xi-Nian N., Ho, Natalie C.W., Nogovitsyn, Nikita, Metzak, Paul, Ballester, Pedro L., Hassel, Stefanie, Rotzinger, Susan, Poppenk, Jordan, Lam, Raymond W., Taylor, Valerie H., Milev, Roumen, Frey, Benicio N., Harkness, Kate L., Addington, Jean, and Kennedy, Sidney H.

Published
2024
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9. A standardized workflow for long-term longitudinal actigraphy data processing using one year of continuous actigraphy from the CAN-BIND Wellness Monitoring Study

Author

Slyepchenko, Anastasiya, Uher, Rudolf, Ho, Keith, Hassel, Stefanie, Matthews, Craig, Lukus, Patricia K., Daros, Alexander R., Minarik, Anna, Placenza, Franca, Li, Qingqin S., Rotzinger, Susan, Parikh, Sagar V., Foster, Jane A., Turecki, Gustavo, Müller, Daniel J., Taylor, Valerie H., Quilty, Lena C., Milev, Roumen, Soares, Claudio N., Kennedy, Sidney H., Lam, Raymond W., and Frey, Benicio N.

Published
2023
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11. An empirical analysis of structural neuroimaging profiles in a staging model of depression

Author

Nogovitsyn, Nikita, Ballester, Pedro, Lasby, Mike, Dunlop, Katharine, Ceniti, Amanda K., Squires, Scott, Rowe, Jessie, Ho, Keith, Suh, JeeSu, Hassel, Stefanie, Souza, Roberto, Casseb, Raphael F., Harris, Jacqueline K., Zamyadi, Mojdeh, Arnott, Stephen R., Strother, Stephen C., Hall, Geoffrey, Lam, Raymond W., Poppenk, Jordan, Lebel, Catherine, Bray, Signe, Metzak, Paul, MacIntosh, Bradley J., Goldstein, Benjamin I., Wang, JianLi, Rizvi, Sakina J., MacQueen, Glenda, Addington, Jean, Harkness, Kate L., Rotzinger, Susan, Kennedy, Sidney H., and Frey, Benicio N.

Published
2024
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12. Relation of hippocampal volume and SGK1 gene expression to treatment remission in major depression is moderated by childhood maltreatment: A CAN-BIND-1 report

Author

Mazurka, Raegan, Cunningham, Simone, Hassel, Stefanie, Foster, Jane A., Nogovitsyn, Nikita, Fiori, Laura M., Strother, Stephen C., Arnott, Stephen R., Frey, Benicio N., Lam, Raymond W., MacQueen, Glenda M., Milev, Roumen V., Rotzinger, Susan, Turecki, Gustavo, Kennedy, Sidney H., and Harkness, Kate L.

Published
2024
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16. Response Inhibition and Predicting Response to Pharmacological and Cognitive Behavioral Therapy Treatments for Major Depressive Disorder: A Canadian Biomarker Integration Network for Depression Study

Author

Dhami, Prabhjot, Quilty, Lena C., Schwartzmann, Benjamin, Uher, Rudolf, Allen, Timothy A., Kloiber, Stefan, Lam, Raymond W., MacQueen, Glenda, Frey, Benicio N., Milev, Roumen, Müller, Daniel J., Strother, Stephen C., Blier, Pierre, Soares, Claudio N., Parikh, Sagar V., Turecki, Gustavo, Foster, Jane A., Rotzinger, Susan, Kennedy, Sidney H., and Farzan, Faranak

Published
2023
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17. Alterations in the neural correlates of affective inhibitory control following cognitive behavioral therapy for depression: A Canadian biomarker integration network for depression (CAN-BIND) study

Author

Dhami, Prabhjot, Quilty, Lena C., Schwartzmann, Benjamin, Uher, Rudolf, Allen, Timothy A., Kloiber, Stefan, Lam, Raymond W., MacQueen, Glenda, Frey, Benicio N., Milev, Roumen, Müller, Daniel J., Rotzinger, Susan, Kennedy, Sidney H., and Farzan, Faranak

Published
2022
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20. Effects of CYP2C19 and CYP2D6 gene variants on escitalopram and aripiprazole treatment outcome and serum levels: results from the CAN-BIND 1 study

Author

Islam, Farhana, Marshe, Victoria S., Magarbeh, Leen, Frey, Benicio N., Milev, Roumen V., Soares, Claudio N., Parikh, Sagar V., Placenza, Franca, Strother, Stephen C., Hassel, Stefanie, Taylor, Valerie H., Leri, Francesco, Blier, Pierre, Uher, Rudolf, Farzan, Faranak, Lam, Raymond W., Turecki, Gustavo, Foster, Jane A., Rotzinger, Susan, Kennedy, Sidney H., and Müller, Daniel J.

Published
2022
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24. Atypical brain aging and its association with working memory performance in major depressive disorder

Author

Ho, Natalie C.W., primary, Bethlehem, Richard AI., additional, Seidlitz, Jakob, additional, Nogovitsyn, Nikita, additional, Metzak, Paul, additional, Ballester, Pedro L., additional, Hassel, Stefanie, additional, Rotzinger, Susan, additional, Poppenk, Jordan, additional, Lam, Raymond W., additional, Taylor, Valerie H., additional, Milev, Roumen, additional, Adamson, Chris, additional, Adler, Sophie, additional, Alexander-Bloch, Aaron F., additional, Anagnostou, Evdokia, additional, Anderson, Kevin M., additional, Areces-Gonzalez, Ariosky, additional, Astle, Duncan E., additional, Auyeung, Bonnie, additional, Ayub, Muhammad, additional, Bae, Jong Bin, additional, Ball, Gareth, additional, Baron-Cohen, Simon, additional, Beare, Richard, additional, Bedford, Saashi A., additional, Benegal, Vivek, additional, Bethlehem, Richard A.I., additional, Beyer, Frauke, additional, Blangero, John, additional, Blesa Cábez, Manuel, additional, Boardman, James P., additional, Borzage, Matthew, additional, Bosch-Bayard, Jorge F., additional, Bourke, Niall, additional, Bullmore, Edward T., additional, Calhoun, Vince D., additional, Chakravarty, Mallar M., additional, Chen, Christina, additional, Chertavian, Casey, additional, Chetelat, Gaël, additional, Chong, Yap S., additional, Corvin, Aiden, additional, Costantino, Manuela, additional, Courchesne, Eric, additional, Crivello, Fabrice, additional, Cropley, Vanessa L., additional, Crosbie, Jennifer, additional, Crossley, Nicolas, additional, Delarue, Marion, additional, Delorme, Richard, additional, Desrivieres, Sylvane, additional, Devenyi, Gabriel, additional, Di Biase, Maria A., additional, Dolan, Ray, additional, Donald, Kirsten A., additional, Donohoe, Gary, additional, Dorfschmidt, Lena, additional, Dunlop, Katharine, additional, Edwards, Anthony D., additional, Elison, Jed T., additional, Ellis, Cameron T., additional, Elman, Jeremy A., additional, Eyler, Lisa, additional, Fair, Damien A., additional, Fletcher, Paul C., additional, Fonagy, Peter, additional, Franz, Carol E., additional, Galan-Garcia, Lidice, additional, Gholipour, Ali, additional, Giedd, Jay, additional, Gilmore, John H., additional, Glahn, David C., additional, Goodyer, Ian M., additional, Grant, P.E., additional, Groenewold, Nynke A., additional, Gudapati, Shreya, additional, Gunning, Faith M., additional, Gur, Raquel E., additional, Gur, Ruben C., additional, Hammill, Christopher F., additional, Hansson, Oskar, additional, Hedden, Trey, additional, Heinz, Andreas, additional, Henson, Richard N., additional, Heuer, Katja, additional, Hoare, Jacqueline, additional, Holla, Bharath, additional, Holmes, Avram J., additional, Huang, Hao, additional, Ipser, Jonathan, additional, Jack, Clifford R., additional, Jackowski, Andrea P., additional, Jia, Tianye, additional, Jones, David T., additional, Jones, Peter B., additional, Kahn, Rene S., additional, Karlsson, Hasse, additional, Karlsson, Linnea, additional, Kawashima, Ryuta, additional, Kelley, Elizabeth A., additional, Kern, Silke, additional, Kim, Ki-Woong, additional, Kitzbichler, Manfred G., additional, Kremen, William S., additional, Lalonde, François, additional, Landeau, Brigitte, additional, Lerch, Jason, additional, Lewis, John D., additional, Li, Jiao, additional, Liao, Wei, additional, Liston, Conor, additional, Lombardo, Michael V., additional, Lv, Jinglei, additional, Mallard, Travis T., additional, Marcelis, Machteld, additional, Mathias, Samuel R., additional, Mazoyer, Bernard, additional, McGuire, Philip, additional, Meaney, Michael J., additional, Mechelli, Andrea, additional, Misic, Bratislav, additional, Morgan, Sarah E., additional, Mothersill, David, additional, Ortinau, Cynthia, additional, Ossenkoppele, Rik, additional, Ouyang, Minhui, additional, Palaniyappan, Lena, additional, Paly, Leo, additional, Pan, Pedro M., additional, Pantelis, Christos, additional, Park, Min Tae M., additional, Paus, Tomas, additional, Pausova, Zdenka, additional, Paz-Linares, Deirel, additional, Pichet Binette, Alexa, additional, Pierce, Karen, additional, Qian, Xing, additional, Qiu, Anqi, additional, Raznahan, Armin, additional, Rittman, Timothy, additional, Rodrigue, Amanda, additional, Rollins, Caitlin K., additional, Romero-Garcia, Rafael, additional, Ronan, Lisa, additional, Rosenberg, Monica D., additional, Rowitch, David H., additional, Salum, Giovanni A., additional, Satterthwaite, Theodore D., additional, Schaare, H. Lina, additional, Schabdach, Jenna, additional, Schachar, Russell J., additional, Schöll, Michael, additional, Schultz, Aaron P., additional, Sharp, David, additional, Shinohara, Russell T., additional, Skoog, Ingmar, additional, Smyser, Christopher D., additional, Sperling, Reisa A., additional, Stein, Dan J., additional, Stolicyn, Aleks, additional, Suckling, John, additional, Sullivan, Gemma, additional, Thyreau, Benjamin, additional, Toro, Roberto, additional, Traut, Nicolas, additional, Tsvetanov, Kamen A., additional, Turk-Browne, Nicholas B., additional, Tuulari, Jetro J., additional, Tzourio, Christophe, additional, Vachon-Presseau, Étienne, additional, Valdes-Sosa, Mitchell J., additional, Valdes-Sosa, Pedro A., additional, Valk, Sofie L., additional, van Amelsvoort, Therese, additional, Vandekar, Simon N., additional, Vasung, Lana, additional, Vértes, Petra E., additional, Victoria, Lindsay W., additional, Villeneuve, Sylvia, additional, Villringer, Arno, additional, Vogel, Jacob W., additional, Wagstyl, Konrad, additional, Wang, Yin-Shan S., additional, Warfield, Simon K., additional, Warrier, Varun, additional, Westman, Eric, additional, Westwater, Margaret L., additional, Whalley, Heather C., additional, White, Simon R., additional, Witte, A. Veronica, additional, Yang, Ning, additional, Yeo, B.T. Thomas, additional, Yun, Hyuk Jin, additional, Zalesky, Andrew, additional, Zar, Heather J., additional, Zettergren, Anna, additional, Zhou, Juan H., additional, Ziauddeen, Hisham, additional, Zimmerman, Dabriel, additional, Zugman, Andre, additional, Zuo, Xi-Nian N., additional, Frey, Benicio N., additional, Harkness, Kate L., additional, Addington, Jean, additional, and Kennedy, Sidney H., additional

Published
2024
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25. Hypothalamus volume and DNA methylation of stress axis genes in major depressive disorder: A CAN-BIND study report

Author

Suh, Jee Su, Fiori, Laura M., Ali, Mohammad, Harkness, Kate L., Ramonas, Milita, Minuzzi, Luciano, Hassel, Stefanie, Strother, Stephen C., Zamyadi, Mojdeh, Arnott, Stephen R., Farzan, Faranak, Foster, Jane A., Lam, Raymond W., MacQueen, Glenda M., Milev, Roumen, Müller, Daniel J., Parikh, Sagar V., Rotzinger, Susan, Sassi, Roberto B., Soares, Claudio N., Uher, Rudolf, Kennedy, Sidney H., Turecki, Gustavo, and Frey, Benicio N.

Published
2021
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27. White matter microstructure in youth at risk for serious mental illness: A comparative analysis

Author

Shakeel, Mohammed K, Hassel, Stefanie, Davis, Andrew D, Metzak, Paul D, MacQueen, Glenda M, Arnott, Stephen R, Bray, Signe, Frey, Benicio N., Goldstein, Benjamin I., Hall, Geoffrey B, Harris, Jacqueline, Lam, Raymond W, MacIntosh, Bradley J., Milev, Roumen, Mueller, Daniel J, Rotzinger, Susan, Strother, Stephen C, Wang, JianLi, Zamyadi, Mojdeh, Kennedy, Sidney H, Addington, Jean, and Lebel, Catherine

Published
2021
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30. Functional neuroimaging biomarkers of anhedonia response to escitalopram plus adjunct aripiprazole treatment for major depressive disorder

Author

Vaccarino, Sophie R., primary, Wang, Shijing, additional, Rizvi, Sakina J., additional, Lou, Wendy, additional, Hassel, Stefanie, additional, MacQueen, Glenda M., additional, Ho, Keith, additional, Frey, Benicio N., additional, Lam, Raymond W., additional, Milev, Roumen V., additional, Rotzinger, Susan, additional, Ravindran, Arun V., additional, Strother, Stephen C., additional, and Kennedy, Sidney H., additional

Published
2024
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33. Association between the expression of lncRNA BASP-AS1 and volume of right hippocampal tail moderated by episode duration in major depressive disorder: a CAN-BIND 1 report

Author

Yrondi, Antoine, Fiori, Laura M., Nogovitsyn, Nikita, Hassel, Stefanie, Théroux, Jean François, Aouabed, Zahia, Frey, Benicio N., Lam, Raymond W., Milev, Roumen, Müller, Daniel J., Foster, Jane A., Soares, Claudio, Rotzinger, Susan, Strother, Stephen C., MacQueen, Glenda M., Arnott, Stephen R., Davis, Andrew D., Zamyadi, Mojdeh, Harris, Jacqueline, Kennedy, Sidney H., and Turecki, Gustavo

Published
2021
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34. Clinical, behavioral, and neural measures of reward processing correlate with escitalopram response in depression: a Canadian Biomarker Integration Network in Depression (CAN-BIND-1) Report

Author

Dunlop, Katharine, Rizvi, Sakina J., Kennedy, Sidney H., Hassel, Stefanie, Strother, Stephen C., Harris, Jacqueline K., Zamyadi, Mojdeh, Arnott, Stephen R., Davis, Andrew D., Mansouri, Farrokh, Schulze, Laura, Ceniti, Amanda K., Lam, Raymond W., Milev, Roumen, Rotzinger, Susan, Foster, Jane A., Frey, Benicio N., Parikh, Sagar V., Soares, Claudio N., Uher, Rudolf, Turecki, Gustavo, MacQueen, Glenda M., and Downar, Jonathan

Published
2020
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35. Hippocampal tail volume as a predictive biomarker of antidepressant treatment outcomes in patients with major depressive disorder: a CAN-BIND report

Author

Nogovitsyn, Nikita, Muller, Meghan, Souza, Roberto, Hassel, Stefanie, Arnott, Stephen R., Davis, Andrew D., Hall, Geoffrey B., Harris, Jacqueline K., Zamyadi, Mojdeh, Metzak, Paul D., Ismail, Zahinoor, Downar, Jonathan, Parikh, Sagar V., Soares, Claudio N., Addington, Jean M., Milev, Roumen, Harkness, Kate L., Frey, Benicio N., Lam, Raymond W., Strother, Stephen C., Rotzinger, Susan, Kennedy, Sidney H., and MacQueen, Glenda M.

Published
2020
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37. Genome-wide analysis suggests the importance of vascular processes and neuroinflammation in late-life antidepressant response

Author

Marshe, Victoria S., Maciukiewicz, Malgorzata, Hauschild, Anne-Christin, Islam, Farhana, Qin, Li, Tiwari, Arun K., Sibille, Etienne, Blumberger, Daniel M., Karp, Jordan F., Flint, Alastair J., Turecki, Gustavo, Lam, Raymond W., Milev, Roumen V., Frey, Benicio N., Rotzinger, Susan, Foster, Jane A., Kennedy, Sidney H., Kennedy, James L., Mulsant, Benoit H., Reynolds, III, Charles F., Lenze, Eric J., and Müller, Daniel J.

Published
2021
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38. Influence of CYP2C19, CYP2D6, and ABCB1 Gene Variants and Serum Levels of Escitalopram and Aripiprazole on Treatment-Emergent Sexual Dysfunction: A Canadian Biomarker Integration Network in Depression 1 (CAN-BIND 1) Study

Author

Islam, Farhana, primary, Magarbeh, Leen, additional, Elsheikh, Samar S. M., additional, Kloiber, Stefan, additional, Espinola, Caroline W., additional, Bhat, Venkat, additional, Frey, Benicio N., additional, Milev, Roumen, additional, Soares, Claudio N., additional, Parikh, Sagar V., additional, Placenza, Franca, additional, Hassel, Stefanie, additional, Taylor, Valerie H., additional, Leri, Francesco, additional, Blier, Pierre, additional, Uher, Rudolf, additional, Farzan, Faranak, additional, Lam, Raymond W., additional, Turecki, Gustavo, additional, Foster, Jane A., additional, Rotzinger, Susan, additional, Kennedy, Sidney H., additional, and Müller, Daniel J., additional

Published
2023
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39. Anxious arousal predicts within-person changes in hippocampal volume in adults with a history of childhood maltreatment: A CAN-BIND4 report.

Author

Rowe, Jessica, primary, Poppenk, Jordan, additional, Squires, Scott, additional, Mazurka, Raegan, additional, Nogovitsyn, Nikita, additional, Hassel, Stefanie, additional, Zamyadi, Mojdeh, additional, Arnott, Stephen R., additional, Rotzinger, Susan, additional, Kennedy, Sidney H., additional, Milev, Roumen V., additional, and Harkness, Kate L., additional

Published
2023
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40. Developing an Electroencephalography-Based Model for Predicting Response to Antidepressant Medication

Author

Schwartzmann, Benjamin, primary, Dhami, Prabhjot, additional, Uher, Rudolf, additional, Lam, Raymond W., additional, Frey, Benicio N., additional, Milev, Roumen, additional, Müller, Daniel J., additional, Blier, Pierre, additional, Soares, Claudio N., additional, Parikh, Sagar V., additional, Turecki, Gustavo, additional, Foster, Jane A., additional, Rotzinger, Susan, additional, Kennedy, Sidney H., additional, and Farzan, Faranak, additional

Published
2023
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42. The comparative effectiveness of electroencephalographic indices in predicting response to escitalopram therapy in depression: A pilot study

Author

Baskaran, Anusha, Farzan, Faranak, Milev, Roumen, Brenner, Colleen A., Alturi, Sravya, Pat McAndrews, Mary, Blier, Pierre, Evans, Ken, Foster, Jane A., Frey, Benicio N., Giacobbe, Peter, Lam, Raymond W., Leri, Francesco, MacQueen, Glenda M., Müller, Daniel J., Parikh, Sagar V., Rotzinger, Susan, Soares, Claudio N., Strother, Steven C., Turecki, Gustavo, and Kennedy, Sidney H.

Published
2018
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43. The Canadian Biomarker Integration Network in Depression (CAN-BIND): magnetic resonance imaging protocols

Author

MacQueen, Glenda M., Hassel, Stefanie, Arnott, Stephen R., Addington, Jean, Bowie, Christopher R., Bray, Signe L., Davis, Andrew D., Downar, Jonathan, Foster, Jane A., Frey, Benicio N., Goldstein, Benjamin I., Hall, Geoffrey B., Harkness, Kate L., Harris, Jacqueline, Lam, Raymond W., Lebel, Catherine, Milev, Roumen, Muller, Daniel J., Parikh, Sagar V., Rizvi, Sakina, Rotzinger, Susan, Sharma, Gulshan B., Soares, Claudio N., Turecki, Gustavo, Vila-Rodriguez, Fidel, Yu, Joanna, Zamyadi, Mojdeh, Strother, Stephen C., and Kennedy, Sidney H.

Subjects
Pfizer Canada Inc., Depression (Mood disorder) -- Research, Quality control, Evidence-based medicine, Aripiprazole -- Research, Psychotherapy, Pharmaceutical industry, Escitalopram -- Research, Magnetic resonance imaging, Cognitive therapy, Major depressive disorder, Antidepressants, Behavioral medicine, Therapeutics, Behavior therapy, Cognitive-behavioral therapy, Quality control, Health, Psychology and mental health, University of Toronto
Abstract

Studies of clinical populations that combine MRI data generated at multiple sites are increasingly common. The Canadian Biomarker Integration Network in Depression (CAN-BIND; www.canbind.ca) is a national depression research program that includes multimodal neuroimaging collected at several sites across Canada. The purpose of the current paper is to provide detailed information on the imaging protocols used in a number of CAN-BIND studies. The CAN-BIND program implemented a series of platform-specific MRI protocols, including a suite of prescribed structural and functional MRI sequences supported by real-time monitoring for adherence and quality control. The imaging data are retained in an established informatics and databasing platform. Approximately 1300 participants are being recruited, including almost 1000 with depression. These include participants treated with antidepressant medications, transcranial magnetic stimulation, cognitive behavioural therapy and cognitive remediation therapy. Our ability to analyze the large number of imaging variables available may be limited by the sample size of the substudies. The CAN-BIND program includes a multimodal imaging database supported by extensive clinical, demographic, neuropsychological and biological data from people with major depression. It is a resource for Canadian investigators who are interested in understanding whether aspects of neuroimaging--alone or in combination with other variables--can predict the outcomes of various treatment modalities., Introduction Treatment of major depressive disorder (MDD) is evidence-based, but treatment selection is not personalized to the features of an individual's illness. (1) The discovery of biomarkers --or predictors--of treatment [...]

Published
2019
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44. Pro-inflammatory markers are associated with response to sequential pharmacotherapy in major depressive disorder: a CAN-BIND-1 report

Author

Husain, M. Ishrat, primary, Foster, Jane A., additional, Mason, Brittany L., additional, Chen, Sheng, additional, Zhao, Haoyu, additional, Wang, Wei, additional, Rotzinger, Susan, additional, Rizvi, Sakina, additional, Ho, Keith, additional, Lam, Raymond, additional, MacQueen, Glenda, additional, Milev, Roumen, additional, Frey, Benicio N., additional, Müller, Daniel, additional, Turecki, Gustavo, additional, Jha, Manish, additional, Trivedi, Madhukar, additional, and Kennedy, Sidney H., additional

Published
2023
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45. 286. Genetic Polymorphism of Brain-Derived Neurotrophic Factor is Related to Antidepressant Efficacy and Treatment-Induced Hippocampal Plasticity in Patients With Major Depressive Disorder: CAN-BIND-1 Study

Author

Nogovitsyn, Nikita, primary, Fiori, Laura, additional, Rizvi, Sakina J., additional, Ceniti, Amanda K., additional, Ballester, Pedro, additional, Foster, Jane A., additional, Dunlop, Katharine, additional, Ho, Keith, additional, Hassel, Stefanie, additional, Milev, Roumen V., additional, Soares, Claudio N., additional, Strother, Stephen C., additional, Arnott, Stephen R., additional, Lam, Raymond W., additional, Uher, Rudolf, additional, Parikh, Sagar V., additional, Farzan, Faranak, additional, Taylor, Valerie H., additional, MacQueen, Glenda, additional, Mueller, Daniel J., additional, Turecki, Gustavo, additional, Rotzinger, Susan, additional, Frey, Benicio N., additional, and Kennedy, Sidney H., additional

Published
2023
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46. Influence of CYP2C19, CYP2D6, and ABCB1Gene Variants and Serum Levels of Escitalopram and Aripiprazole on Treatment-Emergent Sexual Dysfunction: A Canadian Biomarker Integration Network in Depression 1 (CAN-BIND 1) Study

Author

Islam, Farhana, Magarbeh, Leen, Elsheikh, Samar S. M., Kloiber, Stefan, Espinola, Caroline W., Bhat, Venkat, Frey, Benicio N., Milev, Roumen, Soares, Claudio N., Parikh, Sagar V., Placenza, Franca, Hassel, Stefanie, Taylor, Valerie H., Leri, Francesco, Blier, Pierre, Uher, Rudolf, Farzan, Faranak, Lam, Raymond W., Turecki, Gustavo, Foster, Jane A., Rotzinger, Susan, Kennedy, Sidney H., and Müller, Daniel J.

Abstract

Objectives Treatment-emergent sexual dysfunction is frequently reported by individuals with major depressive disorder (MDD) on antidepressants, which negatively impacts treatment adherence and efficacy. We investigated the association of polymorphisms in pharmacokinetic genes encoding cytochrome-P450 drug-metabolizing enzymes, CYP2C19and CYP2D6, and the transmembrane efflux pump, P-glycoprotein (i.e., ABCB1), on treatment-emergent changes in sexual function (SF) and sexual satisfaction (SS) in the Canadian Biomarker Integration Network in Depression 1 (CAN-BIND-1) sample.Methods A total of 178 adults with MDD received treatment with escitalopram (ESC) from weeks 0–8 (Phase I). At week 8, nonresponders were augmented with aripiprazole (ARI) (i.e., ESC + ARI, n= 91), while responders continued ESC (i.e., ESC-Only, n= 80) from weeks 8–16 (Phase II). SF and SS were evaluated using the sex effects (SexFX) scale at weeks 0, 8, and 16. We assessed the primary outcomes, SF and SS change for weeks 0–8 and 8–16, using repeated measures mixed-effects models.Results In ESC-Only, CYP2C19intermediate metabolizer (IM) + poor metabolizers (PMs) showed treatment-related improvements in sexual arousal, a subdomain of SF, from weeks 8–16, relative to CYP2C19normal metabolizers (NMs) who showed a decline, F(2,54) = 8.00, p < 0.001, q = 0.048. Specifically, CYP2C19IM + PMs reported less difficulty with having and sustaining vaginal lubrication in females and erection in males, compared to NMs. Furthermore, ESC-Only females with higher concentrations of ESC metabolite, S-desmethylcitalopram (S-DCT), and S-DCT/ESC ratio in serum demonstrated more decline in SF (r= −0.42, p = 0.004, q = 0.034) and SS (r= −0.43, p = 0.003, q = 0.034), respectively, which was not observed in males. ESC-Only females also demonstrated a trend for a correlation between S-DCT and sexual arousal change in the same direction (r= −0.39, p = 0.009, q = 0.052).Conclusions CYP2C19metabolizer phenotypes may be influencing changes in sexual arousal related to ESC monotherapy. Thus, preemptive genotyping of CYP2C19may help to guide selection of treatment that circumvents selective serotonin reuptake inhibitor-related sexual dysfunction thereby improving outcomes for patients. Additionally, further research is warranted to clarify the role of S-DCT in the mechanisms underlying ESC-related changes in SF and SS. This CAN-BIND-1 study was registered on clinicaltrials.gov (Identifier: NCT01655706) on 27 July 2012.

Published
2024
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47. GPR56/ADGRG1 is associated with response to antidepressant treatment

Author

Belzeaux, Raoul, Gorgievski, Victor, Fiori, Laura M., Lopez, Juan Pablo, Grenier, Julien, Lin, Rixing, Nagy, Corina, Ibrahim, El Chérif, Gascon, Eduardo, Courtet, Philippe, Richard-Devantoy, Stéphane, Berlim, Marcelo, Chachamovich, Eduardo, Théroux, Jean-François, Dumas, Sylvie, Giros, Bruno, Rotzinger, Susan, Soares, Claudio N., Foster, Jane A., Mechawar, Naguib, Tall, Gregory G., Tzavara, Eleni T., Kennedy, Sidney H., and Turecki, Gustavo

Published
2020
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48. The Differential Relation of Emotional, Physical, and Sexual Abuse Histories to Antidepressant Treatment Remission and Persistence of Anhedonia in Major Depression: A CAN-BIND-1 Report

Author

Harkness, Kate L., primary, Chakrabarty, Trisha, additional, Rizvi, Sakina J., additional, Mazurka, Raegan, additional, Quilty, Lena, additional, Uher, Rudolf, additional, Milev, Roumen V., additional, Frey, Benicio N., additional, Parikh, Sagar V., additional, Foster, Jane A., additional, Rotzinger, Susan, additional, Kennedy, Sidney H., additional, and Lam, Raymond W., additional

Published
2023
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49. AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale.

Author

Fu, Cynthia, Fu, Cynthia, Erus, Guray, Fan, Yong, Antoniades, Mathilde, Arnone, Danilo, Arnott, Stephen, Chen, Taolin, Choi, Ki, Fatt, Cherise, Frey, Benicio, Frokjaer, Vibe, Ganz, Melanie, Garcia, Jose, Godlewska, Beata, Hassel, Stefanie, Ho, Keith, McIntosh, Andrew, Qin, Kun, Rotzinger, Susan, Sacchet, Matthew, Savitz, Jonathan, Shou, Haochang, Singh, Ashish, Stolicyn, Aleks, Strother, Stephen, Tosun, Duygu, Victor, Teresa, Wei, Dongtao, Wise, Toby, Woodham, Rachel, Zahn, Roland, Anderson, Ian, Deakin, J, Dunlop, Boadie, Elliott, Rebecca, Gong, Qiyong, Gotlib, Ian, Harmer, Catherine, Kennedy, Sidney, Knudsen, Gitte, Mayberg, Helen, Paulus, Martin, Qiu, Jiang, Trivedi, Madhukar, Whalley, Heather, Yan, Chao-Gan, Young, Allan, Davatzikos, Christos, Strigo, Irina, Fu, Cynthia, Fu, Cynthia, Erus, Guray, Fan, Yong, Antoniades, Mathilde, Arnone, Danilo, Arnott, Stephen, Chen, Taolin, Choi, Ki, Fatt, Cherise, Frey, Benicio, Frokjaer, Vibe, Ganz, Melanie, Garcia, Jose, Godlewska, Beata, Hassel, Stefanie, Ho, Keith, McIntosh, Andrew, Qin, Kun, Rotzinger, Susan, Sacchet, Matthew, Savitz, Jonathan, Shou, Haochang, Singh, Ashish, Stolicyn, Aleks, Strother, Stephen, Tosun, Duygu, Victor, Teresa, Wei, Dongtao, Wise, Toby, Woodham, Rachel, Zahn, Roland, Anderson, Ian, Deakin, J, Dunlop, Boadie, Elliott, Rebecca, Gong, Qiyong, Gotlib, Ian, Harmer, Catherine, Kennedy, Sidney, Knudsen, Gitte, Mayberg, Helen, Paulus, Martin, Qiu, Jiang, Trivedi, Madhukar, Whalley, Heather, Yan, Chao-Gan, Young, Allan, Davatzikos, Christos, and Strigo, Irina

Abstract

BACKGROUND: Efforts to develop neuroimaging-based biomarkers in major depressive disorder (MDD), at the individual level, have been limited to date. As diagnostic criteria are currently symptom-based, MDD is conceptualized as a disorder rather than a disease with a known etiology; further, neural measures are often confounded by medication status and heterogeneous symptom states. METHODS: We describe a consortium to quantify neuroanatomical and neurofunctional heterogeneity via the dimensions of novel multivariate coordinate system (COORDINATE-MDD). Utilizing imaging harmonization and machine learning methods in a large cohort of medication-free, deeply phenotyped MDD participants, patterns of brain alteration are defined in replicable and neurobiologically-based dimensions and offer the potential to predict treatment response at the individual level. International datasets are being shared from multi-ethnic community populations, first episode and recurrent MDD, which are medication-free, in a current depressive episode with prospective longitudinal treatment outcomes and in remission. Neuroimaging data consist of de-identified, individual, structural MRI and resting-state functional MRI with additional positron emission tomography (PET) data at specific sites. State-of-the-art analytic methods include automated image processing for extraction of anatomical and functional imaging variables, statistical harmonization of imaging variables to account for site and scanner variations, and semi-supervised machine learning methods that identify dominant patterns associated with MDD from neural structure and function in healthy participants. RESULTS: We are applying an iterative process by defining the neural dimensions that characterise deeply phenotyped samples and then testing the dimensions in novel samples to assess specificity and reliability. Crucially, we aim to use machine learning methods to identify novel predictors of treatment response based on prospective lon

Published
2023

50. AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder:COORDINATE-MDD consortium design and rationale

Author

Fu, Cynthia H Y, Erus, Guray, Fan, Yong, Antoniades, Mathilde, Arnone, Danilo, Arnott, Stephen R, Chen, Taolin, Choi, Ki Sueng, Fatt, Cherise Chin, Frey, Benicio N, Frokjaer, Vibe G, Ganz, Melanie, Garcia, Jose, Godlewska, Beata R, Hassel, Stefanie, Ho, Keith, McIntosh, Andrew M, Qin, Kun, Rotzinger, Susan, Sacchet, Matthew D, Savitz, Jonathan, Shou, Haochang, Singh, Ashish, Stolicyn, Aleks, Strigo, Irina, Strother, Stephen C, Tosun, Duygu, Victor, Teresa A, Wei, Dongtao, Wise, Toby, Woodham, Rachel D, Zahn, Roland, Anderson, Ian M, Deakin, J F William, Dunlop, Boadie W, Elliott, Rebecca, Gong, Qiyong, Gotlib, Ian H, Harmer, Catherine J, Kennedy, Sidney H, Knudsen, Gitte M, Mayberg, Helen S, Paulus, Martin P, Qiu, Jiang, Trivedi, Madhukar H, Whalley, Heather C, Yan, Chao-Gan, Young, Allan H, Davatzikos, Christos, Fu, Cynthia H Y, Erus, Guray, Fan, Yong, Antoniades, Mathilde, Arnone, Danilo, Arnott, Stephen R, Chen, Taolin, Choi, Ki Sueng, Fatt, Cherise Chin, Frey, Benicio N, Frokjaer, Vibe G, Ganz, Melanie, Garcia, Jose, Godlewska, Beata R, Hassel, Stefanie, Ho, Keith, McIntosh, Andrew M, Qin, Kun, Rotzinger, Susan, Sacchet, Matthew D, Savitz, Jonathan, Shou, Haochang, Singh, Ashish, Stolicyn, Aleks, Strigo, Irina, Strother, Stephen C, Tosun, Duygu, Victor, Teresa A, Wei, Dongtao, Wise, Toby, Woodham, Rachel D, Zahn, Roland, Anderson, Ian M, Deakin, J F William, Dunlop, Boadie W, Elliott, Rebecca, Gong, Qiyong, Gotlib, Ian H, Harmer, Catherine J, Kennedy, Sidney H, Knudsen, Gitte M, Mayberg, Helen S, Paulus, Martin P, Qiu, Jiang, Trivedi, Madhukar H, Whalley, Heather C, Yan, Chao-Gan, Young, Allan H, and Davatzikos, Christos

Abstract

BACKGROUND: Efforts to develop neuroimaging-based biomarkers in major depressive disorder (MDD), at the individual level, have been limited to date. As diagnostic criteria are currently symptom-based, MDD is conceptualized as a disorder rather than a disease with a known etiology; further, neural measures are often confounded by medication status and heterogeneous symptom states.METHODS: We describe a consortium to quantify neuroanatomical and neurofunctional heterogeneity via the dimensions of novel multivariate coordinate system (COORDINATE-MDD). Utilizing imaging harmonization and machine learning methods in a large cohort of medication-free, deeply phenotyped MDD participants, patterns of brain alteration are defined in replicable and neurobiologically-based dimensions and offer the potential to predict treatment response at the individual level. International datasets are being shared from multi-ethnic community populations, first episode and recurrent MDD, which are medication-free, in a current depressive episode with prospective longitudinal treatment outcomes and in remission. Neuroimaging data consist of de-identified, individual, structural MRI and resting-state functional MRI with additional positron emission tomography (PET) data at specific sites. State-of-the-art analytic methods include automated image processing for extraction of anatomical and functional imaging variables, statistical harmonization of imaging variables to account for site and scanner variations, and semi-supervised machine learning methods that identify dominant patterns associated with MDD from neural structure and function in healthy participants.RESULTS: We are applying an iterative process by defining the neural dimensions that characterise deeply phenotyped samples and then testing the dimensions in novel samples to assess specificity and reliability. Crucially, we aim to use machine learning methods to identify novel predictors of treatment response based on

Published
2023

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